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Asthma ranks among the most costly of chronic diseases, accounting for over $50 billion annually in direct medical expenditures in the United States. At the same time, evidence has accumulated that fine particulate matter pollution can exacerbate asthma symptoms and generate substantial economic costs. To measure these costs, we use a unique nationwide panel dataset tracking asthmatic individuals’ use of rescue medication and their exposure to PM2.5(particulate matter with an aerodynamic diameter of <2.5 μm) concentration between 2012 and 2017, to estimate the causal relationship between pollution and inhaler use. Our sample consists of individuals using an asthma digital health platform, which relies on a wireless sensor to track the place and time of inhaler use events, as well as regular nonevent location and time indicators. These data provide an accurate measurement of inhaler use and allow spatially and temporally resolute assignment of pollution exposure. Using a high-frequency research design and individual fixed effects, we find that a 1 μg/m3(12%) increase in weekly exposure to PM2.5increases weekly inhaler use by 0.82%. We also show that there is seasonal, regional, and income-based heterogeneity in this response. Using our response prediction, and an estimate from the literature on the willingness to pay to avoid asthma symptoms, we show that a nationwide 1 μg/m3reduction in particulate matter concentration would generate nearly $350 million annually in economic benefits.

Background: During 2008–2015, the estimated annual HIV incidence rate in the United States decreased for each transmission risk category, except for men who have sex with men (MSM). Racial/ethnic disparities exist, with higher incidence rates for Black and Hispanic/Latino MSM. Setting: This analysis examines changes, 2010–2015, in disparities of HIV incidence among Black, Hispanic/Latino and White MSM. Methods: We compared results from the rate ratio, rate difference, weighted and unweighted index of disparity, and population attributable proportion. We calculated incidence rates for MSM using HIV surveillance data and published estimates of the MSM population in the United States. We generated 95% confidence intervals for each measure and used the Z statistic and associated P values to assess statistical significance. Findings: Results from all but one measure, Black-to-White rate difference, indicate that racial/ethnic disparities increased during 2010–2015; not all results were statistically significant. There were statistically significant increases in the Hispanic/Latino-to-White MSM incidence rate ratio (29%, P < 0.05), weighted index of disparity with the rate for White MSM as the referent group (9%, P < 0.05), and the population attributable proportion index (10%, P < 0.05). If racial/ethnic disparities among MSM had been eliminated, a range of 55%–61% decrease in overall MSM HIV incidence would have been achieved during 2010–2015. Conclusions: A large reduction in overall annual HIV incidence among MSM can be achieved by eliminating racial/ethnic disparities among MSM. Removing social and structural causes of racial/ethnic disparities among MSM can be effective in reducing overall annual HIV incidence among MSM.

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